Social Media Content Evaluator

03 set - Roma
Rws Group

About The Role
In this role, you will play a critical part in shaping the future of artificial intelligence and media analysis.

Your main responsibility will be to review short-form video media and classify the language present in both spoken audio and on-screen text. By validating content within your native locale, you will generate high-quality "ground truth" data.

Job Type:
Freelance

Location:
South Korea (work from home)

Work Schedule:
Tempo parziale - 10+ hours per week. Flexible - work whenever you want.

Start Date:
Immediately

Duration:
TBC

Rate:
10 USD per hour

What You’ll Do
- Media Evaluation: Watch and analyze short-form video clips to identify all languages present.
- Locale Validation: Verify and validate that the media content aligns with your specific target locale (e.g., an annotator based in Germany validating that the media is authentic to the Bengali [Bangladesh] linguistic and cultural context).
- Data Labeling: Generate highly accurate ground truth labels using our internal classification tools according to strict project guidelines.




- Quality Assurance: Ensure high data quality and consistency to meet the standards required for training automated machine learning models.

What we’re looking for:
- Must be currently living in South Korea.
- Native-level written and spoken fluency in Korean.
- Access to a reliable, high-speed internet connection and a secure personal computer/laptop.
- Ability to strictly follow detailed photography and data entry guidelines.
- (Preferred but not required) Previous experience in data annotation, content moderation, translation, transcription, or linguistic QA is a strong asset.

Vendor Type
When applying, please select the option that best describes your working status.
Are you a Freelancer or Private Individual?
A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many co

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